Journal of Textile Research ›› 2022, Vol. 43 ›› Issue (10): 161-168.doi: 10.13475/j.fzxb.20210808008

• Apparel Engineering • Previous Articles     Next Articles

Emotion measurement of one-piece swimsuit structure based on response surface analysis

CHEN Yifei, LIU Chi(), YANG Meng   

  1. Apparel & Art Design College, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
  • Received:2021-08-23 Revised:2022-06-18 Online:2022-10-15 Published:2022-10-28
  • Contact: LIU Chi E-mail:liuchi@xpu.edu.cn

Abstract:

Aiming at the user emotional differences caused by different one-piece swimsuits, a research was carried out starting from the structural design based on the basic structure of one-piece swimsuit. Three structural design elements of front neckline depth, back neckline depth, and side seam length were selected as factors, and a three-factor three-level response surface design procedure was explored. CLO3D software was used to obtain three-dimensional virtual fitting dynamic videos of each one-piece swimsuit as a stimulus video. The evaluation scales of pleasure, activation, and dominance were as indicators to measure user emotions. Response surface experiments were conducted and regression equations establish. The results show that the response surface model fits well with the actual situation and is capable of better predicting the emotional values of the one-piece swimsuit. The factors affecting the pleasure and activation are in the order of side seam length, back neckline depth, front neckline depth, and the degree of dominance are in the order of back neckline depth, side seam length, front neckline depth and the interaction between front neckline depth and back neckline depth has a significant influence on emotions. The prediction results of emotion-oriented one-piece swimsuit structure design were obtained.

Key words: one-piece swimsuit, structural design, response surface method, PAD emotional model, emotional measurement, emotional semantic space

CLC Number: 

  • TS941.12

Fig.1

Basic one-piece swimsuit model"

Fig.2

Basic one-piece swimwear styles. (a) Front; (b) Back"

Tab.1

Experimental factors and level coding"

水平 A
前领口深/cm
B
后领口深/cm
C
侧缝长/cm
-1 13.0 10.5 15
0 15.5 23.0 30
1 18.0 35.5 45

Tab.2

Response surface experimental design"

试验
序号
因素 对应样板及
视频编号
A B C
1 0 0 0 a
2 1 1 0 b
3 0 -1 1 c
4 0 1 1 d
5 0 0 0 a
6 -1 -1 0 e
7 -1 0 1 f
8 1 0 1 g
9 0 0 0 a
10 0 -1 -1 h
11 -1 0 -1 i
12 0 1 -1 j
13 0 0 0 a
14 1 -1 0 k
15 -1 1 0 l
16 1 0 -1 m
17 0 0 0 a

Fig.3

One-piece swimsuit model. (a)Model a; (b)Model b; (c)Model c; (d)Model d;(e)Model e; (f)Model f; (g)Model g; (h)Model h; (i)Model i; (j)Model j; (k)Model k;(l)Model l; (m)Model m"

Fig.4

Screenshot of three-dimensional simulation video of one-piece swimsuit. (a)Video screenshot a;(b)Video screenshot b; (c)Video screenshot c; (d)Video screenshot d; (e)Video screenshot e; (f)Video screenshot f;(g)Video screenshot g; (h)Video screenshot h; (i)Video screenshot i; (j)Video screenshot j; (k)Video screenshot k;(l)Video screenshot l; (m)Video screenshot m"

Tab.3

Response surface experimental results"

试验序号 情绪测量结果
P A D
1 0.14 -0.34 0.40
2 0.60 0.66 1.03
3 0.06 -0.94 -0.09
4 0.51 0.11 0.51
5 0.29 -0.22 0.54
6 -0.60 -1.14 -0.17
7 0.00 -0.29 -0.31
8 0.31 -0.37 0.37
9 0.57 0.11 0.74
10 0.54 0.94 0.54
11 0.86 0.46 0.74
12 1.26 1.03 1.06
13 0.80 -0.29 0.31
14 0.66 0.26 0.09
15 0.60 0.83 0.71
16 1.06 1.34 0.71
17 0.46 -0.03 0.71

Tab.4

Analysis of variance of quadratic polynomial model with P values"

方差来源 均方 df 平方和 F 显著性
模型 2.48 6 0.414 7.75 0.002 7**
X 0.392 1 0.392 7.33 0.022 1*
Y 0.667 1 0.667 12.48 0.005 4**
Z 1.01 1 1.01 18.86 0.001 5**
XY 0.397 1 0.397 7.43 0.021 4*
XZ 0.003 1 0.003 0.057 0.816 8
YZ 0.018 1 0.018 0.341 0.572 2
残差 0.535 10 0.054
失拟项 0.276 6 0.046 0.711 0.663 0
误差 0.259 4 0.065
总和 3.02 16

Tab.5

Analysis of variance of quadratic polynomial model with A values"

方差来源 均方 df 平方和 F 显著性
模型 6.59 6 1.1 11.37 0.000 6**
X 0.515 1 0.515 5.33 0.043 6*
Y 1.54 1 1.54 15.94 0.002 5**
Z 3.46 1 3.46 35.79 0.000 1**
XY 0.616 1 0.616 6.38 0.030 1*
XZ 0.23 1 0.23 2.38 0.153 6
YZ 0.23 1 0.23 2.38 0.153 6
残差 0.966 10 0.097
失拟项 0.824 6 0.137 3.85 0.106 3
误差 0.143 4 0.036
总和 7.56 16

Tab.6

Analysis of variance of quadratic polynomial model with D values"

方差来源 均方 df 平方和 F 显著性
模型 2.22 6 0.371 13.05 0.000 3**
X 0.189 1 0.189 6.66 0.027 4*
Y 1.08 1 1.08 38.06 0.000 1**
Z 0.826 1 0.826 29.08 0.000 3**
XY 0.001 1 0.001 0.032 0.862 2
XZ 0.126 1 0.126 4.44 0.061 4
YZ 0.002 1 0.002 0.056 0.817 1
残差 0.284 10 0.028
失拟项 0.143 6 0.024 0.672 0.684 6
误差 0.141 4 0.035
总和 2.51 16

Fig.5

Response analysis of three structural design elements to P value. (a) Influence of front neckline depth and back neckline depth on P value; (b) Influence of front neckline depth and side seam length on P value; (c) Influence of back neckline depth and side seam length on P value"

Fig.6

Response analysis of three structural design elements to A value. (a) Influence of front neckline depth and back neckline depth on A value; (b) Influence of front neckline depth and side seam length on A value; (c) Influence of back neckline depth and side seam length on A value"

Fig.7

Response analysis of three structural design elements to D value. (a) Influence of front neckline depth and back neckline depth on D value; (b) Influence of front neckline depth and side seam length on D value; (c) Influence of back neckline depth and side seam length on D value"

Tab.7

Mapping relationship between OCC emotional words and PAD model (partial) and prediction result of swimsuit structure"

OCC
情绪
愉悦度
P
激活度
A
优势度
D
泳装
款式
前领
口深/
cm
后领
口深/
cm
侧缝长/
cm
满足 0.6 0.5 0.4 款式1 15.5 13 21
款式2 13.5 33.5 39.5
喜欢 0.4 0.16 -0.24 款式1 13 30.5 45
款式2 15.5 10.5 23
自豪 0.4 0.3 0.3 款式1 14 33.5 45
款式2 15.5 10.5 21.5
满意 0.3 -0.2 0.4 款式1 13.5 19 25
款式2 15.5 30 45
[1] 李甍, 崔启萌. 民国女子泳衣的样式及其流行变迁[J]. 南京艺术学院学报(美术与设计), 2019(4):76-80, 210.
LI Meng, CUI Qimeng. The style and changes in popularity of women's swimsuit in the republic of China[J]. Journal of Nanjing Arts Institute(Fine Arts & Design), 2019(4):76-80,210.
[2] 吴雪蒙, 李金侠. 高科技元素在泳装设计中的运用[J]. 山东纺织经济, 2019(7):50-51.
WU Xuemeng, LI Jinxia. Application of high tech elements in swimsuit design[J]. Shandong Textile Economy, 2019(7):50-51.
[3] 岳新维, 周捷. 女式连体泳装款式的感性评价[J]. 西安工程大学学报, 2019, 33(5):481-486.
YUE Xinwei, ZHOU Jie. Perceptual evaluation of women's one-piece swimsuit style[J]. Journal of Xi'an Polytechnic University, 2019, 33(5):481-486.
[4] 黄丽萍. 基于压力舒适性的青年女性连体泳装结构优化设计研究[D]. 西安: 西安工程大学, 2019:4-5.
HUANG Liping. Research on structural optimization design of young women's one-piece swimsuit based on pressure comfort[D]. Xi'an: Xi'an Polytechnic University, 2019:4-5.
[5] 杜元娣, 何天虹. 面料性能对女式泳衣压力舒适性的影响[J]. 纺织科技进展, 2014(6):74-76.
DU Yuandi, HE Tianhong. The influence of fabric property on the pressure comfort of ladies swimsuit[J]. Progress in Textile Science & Technology, 2014(6):74-76.
[6] 许春杰. 女式泳衣的生理舒适性评价与研究[D]. 上海: 上海工程技术大学, 2016:8-9.
XU Chunjie. Evaluation and study on physiological comfort of women's swimsuit[D]. Shanghai: Shanghai University of Engineering Science, 2016:8-9.
[7] 潘俊杰, 周捷. 基于Logistic模型的消费者泳装购买意愿影响因素实证研究[J]. 西安工程大学学报, 2020, 34(4):19-25.
PAN Junjie, ZHOU Jie. Empirical research on the influencing factors of swimsuit purchase intention of consumers based on logistic model[J]. Journal of Xi'an Polytechnic University, 2020, 34(4):19-25.
[8] 贾芳, 冀娜, 董平宁. 泳装网络销售价格策略选择研究[J]. 电子商务, 2017(8):7-8,48.
JIA Fang, JI Na, DONG Pingning. Research on the selection of price strategies for online swimwear sales[J]. E-Business Journal, 2017(8):7-8,48.
[9] 鲁丹丹, 蒋晓文, 张西杨. 女式连体泳衣领部造型感性评价[J]. 天津纺织科技, 2020(3):26-29.
LU Dandan, JIANG Xiaowen, ZHANG Xiyang. Study of kansei on women's one-piece swimming costumes collar[J]. Tianjin Textile Science & Technology, 2020(3):26-29.
[10] 周捷, 张羽晗, 周靖. 几何图案在泳装上应用效果的感性量化评价[J]. 针织工业, 2020(5):67-72.
ZHOU Jie, ZHANG Yuhan, ZHOU Jing. Perceptual quantitative evaluation of the application effect of geometric patterns on swimwear[J]. Knitting Industries, 2020(5):67-72.
[11] 吴天宇, 赵祎乾. 基于多维情绪测量的产品色彩意象感知研究[J]. 美术大观, 2020(4):135-137.
WU Tianyu, ZHAO Yiqian. Research on product color image perception based on multidimensional emotion measurement[J]. Art Panorama, 2020(4):135-137.
[12] 柴丽芳, 钟柳花, 许春梅. 内衣结构设计与纸样[M]. 2版. 上海: 东华大学出版社, 2018:43-44.
CHAI Lifang, ZHONG Liuhua, XU Chunmei. Underwear structure design and pattern[M]. 2nd ed. Shanghai: Donghua University Press, 2018:43-44.
[13] 日本文化服装学院. 服饰造型讲座1:服饰造型基础[M]. 张祖芳, 译. 上海: 东华大学出版社, 2004:68-71.
Institute of Japanese Culture and Clothing. Lectures on costume modeling 1: fundamentals of costume model-ing[M]. ZHANG Zufang, Translating. Shanghai: Donghua University Press, 2004:68-71.
[14] 成恬恬. 基于CLO 3D的文胸虚拟仿真设计[J]. 国际纺织导报, 2020, 48(10):48-51.
CHENG Tiantian. Research on bra virtual simulation design based on CLO 3D[J]. Melliand China, 2020, 48(10):48-51.
[15] 冀艳波, 王玲丽, 刘凯旋. 基于数字化三维人体模型的旗袍定制设计[J]. 纺织学报, 2021, 42(1):133-137,144.
JI Yanbo, WANG Lingli, LIU Kaixuan. Custom design of cheongsam based on digital 3-D human model[J]. Journal of Textile Research, 2021, 42(1):133-137,144.
[16] 李晓明, 傅小兰, 邓国峰. 中文简化版PAD情绪量表在京大学生中的初步试用[J]. 中国心理卫生杂志, 2008(5): 327-329.
LI Xiaoming, FU Xiaolan, DENG Guofeng. Preliminary application of the abbreviated PAD emotion scale to chinese undergraduates[J]. Chinese Mental Health Journal, 2008(5): 327-329.
[17] 张海波, 章江华, 刘莉, 等. 基于PAD的男T恤4种情感关系模型研究[J]. 天津工业大学学报, 2014, 33(5):22-26.
ZHANG Haibo, ZHANG Jianghua, LIU Li, et al. Study on four kinds of emotion relationship models of man's T-shirt based on PAD[J]. Journal of Tiangong University, 2014, 33(5):22-26.
[18] 湛颖, 高妍, 谢凌云. 中国国画情感—美感数据库[J]. 中国图象图形学报, 2019, 24(12):2267-2278.
ZHAN Ying, GAO Yan, XIE Lingyun. Database for emotion and aesthetic analysis of traditional chinese paintings[J]. Journal of Image and Graphics, 2019, 24(12):2267-2278.
[19] 徐冰. 基于情绪测量的服装图像情感计算研究[D]. 上海: 东华大学, 2018:37.
XU Bing. The study of clothing image affective computing based on emotion measurements[D]. Shanghai: Donghua University, 2018:37.
[20] 于昕, 郭浩, 李海芳, 等. 基于自然语言处理的图像情感语义检索研究[J]. 计算机应用与软件, 2014, 31(6):37-41.
YU Xin, GUO Hao, LI Haifang, et al. Research on image emotional semantics retrieval based on natureal language processing[J]. Computer Applications and Software, 2014, 31(6):37-41.
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